rockwellj

rockwellj — CS2 Stats

76561198280174754[U:1:319909026]Steam profile ↗✓ No bans

1,147Tracked matches38%Win rate2020Tracked since
CSDB Rating3.5 LearningSupport
Premier CS Rating10,285Blue band · top ~53.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,285 +3,548 29 Jul – 8 Oct · 28 days played
6,73711,145peak 11,14529 Jul8 Oct
11,145Peak Premier in tracked matches
35Days played since 2026-07-16

Premier CS Rating

  • 860 below peak (11,145)
  • +1,167 over 30 days · improving
  • Next: Purple band at 15,000 — 4,715 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGrockwelljPREMIER10,285 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning39
Utility44

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateLLLWLLWLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +1.6pp headshot accuracy · −20ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 620ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 627ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 636ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim4.2
Utility4.4
Positioning3.9
Opening Duels0.0

Strong CT-side openerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 41% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.2
Positioning3.9
Utility4.4
Mechanics4.8
Opening Duels1.4
Win Impact1.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time621ms−58ms
first ⅓ avg 678ms → last ⅓ avg 621ms
Headshot accuracy10.9%+0.9%
first ⅓ avg 10.0% → last ⅓ avg 10.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.10Best match rating · 13–4 · inferno, 2 Sept →
27%Best headshot accuracy · 13–4 · inferno, 2 Sept →
375msFastest reaction time · 2–13 · ancient, 26 Aug →
13–1Biggest win · nuke, 29 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 55% over 11anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2915–1452%-0.01
nukeB2211–1150%-0.03
dust2D165–1131%-0.02
ancientA116–555%-0.02
cacheB84–450%-0.02
infernoC73–443%-0.02
anubisD72–529%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.8%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.5%Spray accuracy
71.8%Counter-strafing
12.6°Preaim
620msReaction time
8.5%T opening success
40.8%CT opening success
0.53Enemies flashed / flash
5.2%Flash assists
10.79HE damage / grenade
3.98Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6162° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.7811% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9787 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.055%8 Oct →
inferno8–13-0.0011%8 Oct →
nuke2–13-0.0712%7 Oct →
nuke13–11-0.0515%7 Oct →
dust26–13-0.0415%7 Oct →
nuke11–130.0017%6 Oct →
mirage13–10-0.0710%6 Oct →
inferno4–13-0.083%30 Sept →
nuke16–13-0.0116%30 Sept →
mirage11–13-0.0410%17 Sept →
cache6–13-0.098%17 Sept →
nuke11–13-0.017%17 Sept →
nuke13–7-0.036%17 Sept →
ancient9–13-0.0512%16 Sept →
cache13–11-0.015%16 Sept →
dust28–13-0.0212%16 Sept →
nuke13–5-0.036%16 Sept →
dust213–110.0314%11 Sept →
inferno3–13-0.1012%11 Sept →
mirage4–13-0.0515%10 Sept →
mirage13–110.0519%10 Sept →
nuke13–7-0.058%10 Sept →
nuke15–15-0.0114%10 Sept →
anubis14–16-0.018%10 Sept →
ancient13–70.0311%10 Sept →
ancient13–90.0210%10 Sept →
dust210–13-0.038%10 Sept →
mirage7–13-0.038%9 Sept →
cache9–13-0.038%9 Sept →
nuke9–13-0.0516%9 Sept →
dust27–130.0312%3 Sept →
dust28–13-0.0619%3 Sept →
mirage13–5-0.0610%3 Sept →
inferno13–70.0311%2 Sept →
inferno13–40.1027%2 Sept →
mirage13–8-0.0014%2 Sept →
mirage11–130.049%1 Sept →
mirage7–13-0.0112%1 Sept →
mirage13–90.0012%1 Sept →
nuke11–130.035%31 Aug →
dust25–13-0.0514%31 Aug →
dust210–13-0.0113%31 Aug →
ancient6–13-0.087%31 Aug →
mirage7–13-0.020%28 Aug →
ancient4–13-0.007%28 Aug →
nuke13–7-0.0214%26 Aug →
ancient2–13-0.059%26 Aug →
nuke13–6-0.0214%19 Aug →
mirage13–90.0417%18 Aug →
dust213–10-0.0219%18 Aug →
cache7–13-0.105%18 Aug →
dust216–14-0.035%14 Aug →
mirage13–10-0.0219%14 Aug →
anubis8–13-0.099%14 Aug →
inferno6–13-0.055%13 Aug →
dust29–13-0.067%12 Aug →
nuke11–13-0.056%12 Aug →
ancient13–11-0.064%12 Aug →
mirage13–3-0.0214%12 Aug →
nuke9–13-0.035%11 Aug →
mirage13–16-0.024%11 Aug →
nuke6–13-0.0511%11 Aug →
mirage9–13-0.029%10 Aug →
inferno13–11-0.0110%10 Aug →
mirage10–13-0.014%10 Aug →
anubis13–10-0.0712%7 Aug →
nuke13–5-0.0815%7 Aug →
anubis13–90.0316%7 Aug →
cache13–10-0.028%7 Aug →
dust23–13-0.034%5 Aug →
mirage13–4-0.039%5 Aug →
nuke13–10-0.0119%5 Aug →
mirage13–2-0.044%5 Aug →
ancient13–10-0.038%4 Aug →
mirage6–13-0.068%4 Aug →
cache13–60.0617%3 Aug →
dust23–13-0.0715%3 Aug →
mirage13–30.0516%3 Aug →
nuke16–14-0.0416%30 Jul →
ancient13–50.013%30 Jul →
mirage13–40.0515%30 Jul →
mirage10–13-0.0315%30 Jul →
nuke13–10.1011%29 Jul →
anubis10–13-0.0110%29 Jul →
nuke9–13-0.033%29 Jul →
mirage10–130.018%29 Jul →
dust213–50.0510%28 Jul →
nuke10–13-0.0710%28 Jul →
dust213–100.0216%28 Jul →
mirage13–9-0.029%24 Jul →
mirage9–130.029%22 Jul →
ancient16–14-0.019%21 Jul →
anubis6–130.062%18 Jul →
mirage9–13-0.026%18 Jul →
anubis10–13-0.025%17 Jul →
dust28–13-0.036%17 Jul →
mirage13–70.0612%16 Jul →
mirage13–3-0.0616%16 Jul →
cache13–80.0210%16 Jul →
cache10–13-0.026%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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